Genomics › AI Whole Genome Sequencing Analysis Research
Copy Number Variation Detection Using AI
Interns will develop AI algorithms to detect and characterize copy number variations (CNVs) in whole genome sequencing data. This work involves implementing neural networks and statistical methods to identify duplications and deletions, analyze their breakpoints, and assess their potential clinical significance.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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